Senior Data Scientist (mastercard)

Job Description

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a

culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Senior Data Scientist

Overview:
We believe in power of data. We think creatively, design smart, simple to use, cost-effective solutions that empower our customer with actionable insights. The GBSC Analytics and Automation team is built upon strong contributors with leadership abilities, innovative mindsets and with strong business and technical acumen. The team acts as an idea incubator supporting various GBSC initiatives by providing in-depth analysis and strategic guidance. The team identifies ways to leverage data for answering business questions and driving operational efficiency. We innovate using new age technologies and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging long-term customer engagement, improving processes and productivity, and overall evolving the way we do business.
Technology stack
Our current primary tools for data engineering, analysis, data preparation and information delivery: Apache Spark, Alteryx, and Tableau
Core database environments: Oracle, MS SQL Server, Hadoop, Multi-dimensional databases

Role:
• Support multiple analytics and automation projects for Mastercard's strategic initiatives.
• Design, build and implement data and process automation solutions to support the global organization.
• Understand Mastercard business model and support analyzing the revenue and market trends for the different Mastercard business units.
• Build and support an infrastructure to enable effectively working with large sets of unstructured and structured data.
• Develop new queries and Alteryx flows for extracting, transforming, and analyzing data to address project requirements.
• Develop dashboards and reports that adhere to the visualization best practices and communicate a story.
• Participate in drafting documents and presentations for communicating innovations, ideas, or discoveries.
• Contribute to strengthening motivated, innovative and productive team that creates next generation analytics for the shared services center and Mastercard.
• Generate and implement ideas to continuously improve analytics and reporting services delivery.
• Work closely with finance and Mastercard strategic growth teams to identify short-term and long-term objective alignment.

All About You:
• Intellectual curiosity and enthusiasm to apply data to discover and solve business challenges and questions;
• Problem solving mentality, resourcefulness and creativity in identifying solutions;
• Strong interpersonal skills, ability to build professional relationship, influence and negotiate;
• Full stack experience in data collection, aggregation, analysis, visualization, productizing and maintenance of analytics products;
• Proficiency with data preparation/ETL and working with relational databases;
• Strong knowledge of SQL, ability to write, execute and optimize performance of complex queries;
• Expertise with information delivery and knowledge of data visualization techniques for preparing data discovery, operational and executive dashboards;
• Experience developing complex analytics applications and data consulting;
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with both technical and non-technical customers;
• Software development life cycle experience on analytics engagements across strategy, design and implementation
• Knowledge of basic statistical analysis techniques and data mining methodologies.
Desirable Capabilities
• Proficiency with Alteryx, Tableau or any other visualization tools.
• Knowledge of a programming language like R or Python or Scala is a plus.
• Data modeling and leveraging APIs.
• Experience with machine learning algorithms and methods is a plus;
• Experience with predictive analytics and optimization models is a plus.

Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

Pay Ranges

O'Fallon, Missouri: $115,000 - $184,000 USD